Sales Engineer

talentpluto

$130K — $140K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Software engineering background, ideally in a startup environment.
  • Strong presentation and communication skills for client interactions.
  • Proficient in AI tooling and building rapid prototypes.
  • Experience with high-volume, fast-paced customer engagement.
  • Must be located in San Francisco and willing to work onsite.

Responsibilities

  • Build and run sandbox demos and integrations for prospective customers.
  • Own the technical thread in pre-sales conversations from initial call to evaluation.
  • Quickly turn customer requirements into effective proofs of value.
  • Present results and articulate product value to both technical and business stakeholders.
  • Relay recurring customer needs to product and engineering teams.
Full Job Description
Location: San Francisco, CA

Work Model: On-site

Industry: AI infrastructure / developer tools

Compensation: $130K-$140K base, plus equity
The Opportunity

This is a pre-sales forward-deployed engineering seat. You will run sandbox demos, stand up integrations, and prove value quickly for a high volume of prospective customers.

The work is engineering-first and client-facing at the same time. You will build the demo, run the conversation, and translate what a technical buyer cares about into something they can see working.
Responsibilities
  • Build and run sandbox demos and integrations for prospective customers.
  • Own the technical thread in pre-sales conversations from first call through evaluation.
  • Turn customer requirements into working proofs of value quickly, at volume.
  • Present results and articulate product value to technical and business stakeholders.
  • Feed recurring customer needs back to product and engineering.
Requirements
  • Software engineering background, ideally at a startup where you shipped end to end.
  • Strong presentation and communication skills; comfortable demoing live to customers.
  • Fluent with AI tooling and able to build fast with it.
  • Comfortable with high-volume, short-cycle customer work.
  • Based in San Francisco and able to work onsite.

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